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相对于车辆运动,行人在变速、转向方面更加智能和灵活,且轻微的推撞是可以接受的,不像车辆那样受车道的严格限制,此外其受周围环境包括一些潜在的意外或突发现象的影响更加多样和复杂,从而显得混乱,因此给模拟带来困难。提出的二维行人运动的元胞自动机模型通过一些简单的规则制订和给定的参数,研究了两向行人运动(包括从左向右和从下向上的行人运动)中出现的自组织和临界现象,在本文给出的尺度范围内发现随着系统尺度和人群密集度的增大,临界密度基本保持不变。
Relative to vehicle movement, pedestrians are smarter and more flexible in shifting and steering, and slight bumps are acceptable, not as restricted by the lanes as vehicles do, in addition to being subject to a number of potentially unexpected or unexpected phenomena The impact is more diverse and complex, which makes it appear confusing, so it is difficult to simulate. The proposed cellular automata model for two-dimensional pedestrian movement studies the self-organization and self-organization of two-way pedestrian movement (including pedestrian movement from left to right and from bottom to top) through some simple rules making and given parameters. The critical phenomena, within the scale given in this paper, find that as the system scale and crowd density increase, the critical density remains basically unchanged.